{"id":"W4390838000","doi":"10.1111/jzo.13148","title":"Bigfoot: If it's there, could it be a bear?","year":2024,"lang":"en","type":"article","venue":"Journal of Zoology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ursus; Population; Geography; Biology; Ecology; Zoology; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000604625,0.0001396031,0.0002366132,0.0002550543,0.0007281858,0.001011598,0.0005153521,0.0004528698,0.004317151],"category_scores_gemma":[0.00174175,0.00008520493,0.0002927525,0.0004096219,0.001103824,0.001008286,0.000420743,0.0004274601,0.000256397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005995767,"about_ca_system_score_gemma":0.000447524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06507059,"about_ca_topic_score_gemma":0.1212475,"domain_scores_codex":[0.9998162,0.00004743918,0.000005327205,0.0000491738,0.00003995941,0.00004184437],"domain_scores_gemma":[0.9994239,0.000144029,0.0001939689,0.00002915695,0.00009588804,0.0001130952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002752924,0.00005441906,0.966267,0.00006742421,0.0001246668,0.001067502,0.001143176,0.001053418,0.000729771,0.002756454,0.005557669,0.02090308],"study_design_scores_gemma":[0.00002626577,0.000237848,0.926726,0.0004515437,0.0002664757,0.002590041,0.03070254,0.008524581,0.0009108217,0.01296095,0.0165426,0.0000601347],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865071,0.001023625,0.001328624,0.006033413,0.0001333595,0.00000734663,0.0002094255,0.00001247434,0.00474462],"genre_scores_gemma":[0.9978182,0.0002791139,0.0002613876,0.0002871449,0.00003410937,0.000001400965,0.00006056189,0.0000040255,0.001253971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06507059,"threshold_uncertainty_score":0.1293837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01953465822972774,"score_gpt":0.2619406454607711,"score_spread":0.2424059872310433,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}